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Publications: Kee-Eung Kim

by Kee-Eung Kim last modified Jan 07, 2013 08:21 PM

Jaedeug Choi and Kee-Eung Kim: Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
In: Proceedings of Neural Information Processing Systems (NIPS). 2012.

Dongho Kim, Kee-Eung Kim, and Pascal Poupart: Cost-Sensitive Exploration in Bayesian Reinforcement Learning
In: Proceedings of Neural Information Processing Systems (NIPS). 2012.

Jaeyoung Park and Kee-Eung Kim: A POMDP Approach to Optimizing P300 Speller BCI Paradigm
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(4). 2012.

이강훈, 임희진, and 김기응: Factored POMDP를 이용한 가상군의 자율행위 모델링 사례연구
In: 한국컴퓨터종합학술대회 논문집, vol. 39(1B). 2012.

Byung Kon Kang and Kee-Eung Kim: Exploiting Symmetries for Single and Multi-Agent Partially Observable Stochastic Domains
Artificial Intelligence, 182-183:32-57. 2012.

김동호, 이재송, 최재득, and 김기응: 복수 무인기를 위한 POMDP 기반 동적 임무 할당 및 정찰 임무 최적화 기법
정보과학회 논문지: 소프트웨어 및 응용, 39(6). 2012.

Jaedeug Choi and Kee-Eung Kim: MAP Inference for Bayesian Inverse Reinforcement Learning
In: Proceedings of Neural Information Processing Systems (NIPS). 2011.

Jaeyoung Park, Kee-Eung Kim, and Yoon-Kyu Song: A POMDP-based Optimal Control of P300-based Brain-Computer Interfaces

In: Proceedings of the National Conference on Artificial Intelligence (AAAI) NECTAR Track. 2011.

Dongho Kim, Jaesong Lee, Kee-Eung Kim, and Pascal Poupart: Point-Based Value Iteration for Constrained POMDPs
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2011.

Dongho Kim, Jaesong Lee, Kee-Eung Kim, and Pascal Poupart: Point-Based Value Iteration for Constrained POMDPs
In: Proceedings of the IJCAI Workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities. 2011.

Eunsoo Oh and Kee-Eung Kim: A Geometric Traversal Algorithm for Reward-Uncertain MDPs
In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI). 2011.

김동호, 이재송, 김기응, and 파스칼 푸파르: 제약을 갖는 POMDP를 위한 점-기반 가치 반복 알고리즘
In: 한국컴퓨터종합학술대회 논문집, vol. 38(1A). 2011.
(최우수 논문상)


Pascal Poupart, Kee-Eung Kim, and Dongho Kim: Closing the Gap: Towards Provably Optimal POMDP Solutions
In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS). 2011.

Jaedeug Choi and Kee-Eung Kim: Inverse Reinforcement Learning in Partially Observable Environments
Journal of Machine Learning Research (JMLR), 12. 2011.

Dongho Kim, Jin Hyung Kim, and Kee-Eung Kim: Robust Performance Evaluation of POMDP-Based Dialogue Systems
IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 19(4). 2011.

김동호 and 김기응: 부분관찰 마코프 의사결정과정을 이용한 지능형 에이전트 구현
한국정보과학회지, 29(2). 2011.

Wonjun Lee, Sunjun Kim, Younkyung Lim, Alice Oh, Tekjin Nam, and Kee-Eung Kim: A Rapid Prototyping Method for Discovering User-Driven Opportunities for Personal Informatics
In: Proceedings of the International Conference on Virtual Systems and Multimedia (VSMM). 2010.
(Best Paper Award)


Younkyung Lim, Alice Oh, Tekjin Nam, and Kee-Eung Kim: Personal Informatics for Discovering Human-Centered Lifecare System Opportunities
In: Proceedings of the ACM CHI Workshop on Know Thyself. 2010.

Jaeyoung Park, Kee-Eung Kim, and Sungho Jo: A POMDP Approach to P300-Based Brain-Computer Interfaces
In: Proceedings of the ICAPS POMDP Practitioners Workshop. 2010.

Youngwook Kim and Kee-Eung Kim: Point-Based Bounded Policy Iteration for Decentralized POMDPs
In: Proceedings of Pacific-Rim Conference on Artificial Intelligence (PRICAI) / Lecture Notes in Computer Science (LNCS) 6230. 2010.
(Best poster award)


Jaeyoung Park, Kee-Eung Kim, and Sungho Jo: A POMDP Approach to P300-Based Brain-Computer Interfaces
In: Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI). 2010.

Jaedeug Choi and Kee-Eung Kim: Inverse Reinforcement Learning in Partially Observable Environments
In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2009.

Dongho Kim, Hyeong Seop Sim, Kee-Eung Kim, Jin Hyung Kim, Hyunjeong Kim, and Joo Won Sung: Effects of User Modeling on POMDP-based Dialogue Systems
In: Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH). 2008.
(Best student paper runner-up)


Jae-Hyun Seok, Simon Levasseur, Kee-Eung Kim, and Jin Hyung Kim: Tracing Handwriting on Paper Document under Video Camera
In: Proceedings of the International Conference on Frontiers in Handwriting Recognition (ICFHR). 2008.

Hyeong Seop Sim, Kee-Eung Kim, Jin Hyung Kim, Du-Seong Chang, and Myoung-Wan Koo: Symbolic Heuristic Search Value Iteration for Factored POMDPs
In: Proceedings of the National Conference on Artificial Intelligence (AAAI). 2008.

Kee-Eung Kim: Exploiting Symmetries in POMDPs for Point-Based Algorithms
In: Proceedings of the National Conference on Artificial Intelligence (AAAI). 2008.

Kyungmin Min, Seonghun Lee, Kee-Eung Kim, and Jin Hyung Kim: Place Recognition Using Multiple Wearable Cameras
In: Proc. of 4th International Symposium on Ubiquitous Computing Systems (UCS) / Lecture Notes in Computer Science (LNCS) 4836. 2007.

Jihoon Kim, Taik Heon Rhee, Kee-Eung Kim, and Jin Hyung Kim: Signboard Recognition by Consistency Checking of Local Features
In: 2nd Korea-Japan Joint Workshop on Pattern Recognition (KJPR). 2007.

Kee-Eung Kim, Wook Chang, Sung-Jung Cho, Junghyun Shim, Hyunjeong Lee, Joonah Park, Youngbeom Lee, and Sangryoung Kim: Hand Grip Pattern Recognition for Mobile User Interfaces
In: Proceedings of the Innovative Applications of Artificial Intelligence Conference (IAAI). 2006.

Wook Chang, Kee-Eung Kim, Hyunjeong Lee, Joon Kee Cho, Byung Seok Soh, Jung Hyun Shim, Gyunghye Yang, Sung-Jung Cho, and Joonah Park: Recognition of Grip-Patterns by using Capacitive Touch Sensors
In: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE). 2006.

Kee-Eung Kim, Taeseo Park, Min-Kyu Park, Youngbeom Lee, Yunbae Kim, and Sangryoung Kim: Adaptive Event Clustering for Personalized Photo Browsing
In: 한국 HCI 학술대회 논문집 (Proceedings of Korean HCI Conference). 2006.

Wook Chang, Kee-Eung Kim, Hyunjeong Lee, Joonki Cho, Byeongsuk Soh, Junghyun Shim, Kyunghye Yang, Sung-Jung Cho, and Junah Park: Designing Mobile User Interfaces Using Hand Grip Recognition
In: 한국 HCI 학술대회 논문집 (Proceedings of Korean HCI Conference). 2006.

SeongHwan Cho and Kee-Eung Kim: Variable Bandwidth Allocation Scheme for Energy Efficient Wireless Sensor Network
In: Proceedings of the IEEE International Conference on Communications (ICC). 2005.

Wook Chang, Juna Park, Kee-Eung Kim, Sung-Jung Cho, Hyun-Jung Lee, and Junghyun Shim: 접촉 센서를 이용한 사용자 인터페이스 설계 (Designing a Touch-based User Interface System for Handheld Devices)
In: 한국 HCI 학술대회 논문집 (Proceedings of Korean HCI Conference). 2005.

Kee-Eung Kim and Thomas Dean: Solving Factored MDPs Using Non-Homogeneous Partitions
Artificial Intelligence, 147(1-2). 2003.

Kee-Eung Kim and Thomas Dean: Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams
In: Proceedings of Pacific-Rim Conference on Artificial Intelligence (PRICAI) / Lecture Notes in Computer Science (LNCS) 2417. 2002.

Kee-Eung Kim and Thomas Dean: Solving Factored MDPs via Non-homogeneous Partitioning
In: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI).2001.

Nicolas Meuleau, Leonid Peshkin, and Kee-Eung Kim: Exploration in Gradient-based Reinforcement Learning
MIT, AI Memo(2001-003). 2001.

Kee-Eung Kim, Thomas Dean, and Nicolas Meuleau: Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers
In: Proceedings of the Fifth International Conference on Artificial Intelligence in Planning and Scheduling (AIPS). 2000.

Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, and Leslie Pack Kaelbling: Learning to Cooperate via Policy Search
In: Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI). 2000.

Thomas Dean, Kee-Eung Kim, and Samuel Hazlehurst: Linear Algebra in Very High-Dimension Vector Spaces With an Application to Solving Markov Decision Processes
Neural Computing Surveys, 3. 2000.

Kee-Eung Kim, Thomas Dean, and Samuel Hazlehurst: Linear Algebra in Very High-Dimension Vector Spaces: Algorithms and Data Structures for Implementing Exact and Approximate Solution Methods
Department of Computer Science, Brown University, Technical Report(CS-00-02). 2000.

Thomas Dean, Kee-Eung Kim, and Samuel Hazlehurst: Linear Algebra in Very High-Dimension Vector Spaces With an Application to Solving Markov Decision Processes
In: Proceedings of IJCAI-99 Workshop on Statistical Machine Learning for Large-Scale Optimization. 1999.

Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, and Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments
In: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI). 1999.

Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, and Anthony R. Cassandra: Solving POMDPs by Searching the Space of Finite Policies
In: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI). 1999.

Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, and Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes
In: Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI). 1998.

Thomas Dean, Kee-Eung Kim, and Robert Givan: Solving Planning Problems with Large State and Action Spaces
In: Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems (AIPS). 1998.